Global trends, collaboration networks and knowledge mapping of artificial intelligence evolution in sepsis diagnosis and management: A bibliometric analysis
AI applications in sepsis research are transitioning from algorithm validation toward clinical application, developing in the direction of explainable AI and precision sepsis care. The research trajectory evolves from "proof of concept" toward "ensuring clinical utility." These findings provide strategic guidance for healthcare systems, highlighting the importance of interpretable models, multi-center validation, and infrastructure development for next-generation precision sepsis management.
Authors
- S. E. Chen (ORCID: https://orcid.org/0009-0008-5284-6573)
- Peiyi Liu (ORCID: https://orcid.org/0009-0005-6928-0877)
- W. Tang (ORCID: https://orcid.org/0009-0007-7534-2653)
- Jierong Mo (ORCID: https://orcid.org/0000-0002-2343-1546)
- Shengbo Chen (ORCID: https://orcid.org/0009-0000-2268-8561)
- Jiawen He (ORCID: https://orcid.org/0009-0006-9661-7380)
- Jun Jiang (ORCID: https://orcid.org/0000-0002-1521-5421)
- Lianshan Guo (ORCID: https://orcid.org/0000-0002-4930-4019)
- Tianen Zhou (ORCID: https://orcid.org/0009-0006-2342-2996)
- Zhiyong Lin (ORCID: https://orcid.org/0009-0003-9928-1040)
- R. Y. Zhan (ORCID: https://orcid.org/0009-0000-2446-3059)
- Z.-L Li (ORCID: https://orcid.org/0009-0002-2141-0714)
- Jingyi Deng (ORCID: https://orcid.org/0009-0000-0219-9576)
Institutions
- Guangdong Medical College (CN)
- Guangdong Pharmaceutical University (CN)
- First People's Hospital of Foshan (CN)
Publication Details
- Journal
- Digital Health
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1177/20552076251396574
- Citations
- 3
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 4.06